Zenith Advisory works with boards and operating teams on technology, AI and data — from the decision, through the build, to the number it moves.
What we solve
Capabilities
Open any practice for what is included, how an engagement is shaped, and what you own at the end.
Selected work
How we think
They are not branding. They decide what we build, what we kill, and when we hand the work back to you.
Buying output gives you a flat line: the capability leaves when the contract ends. Buying assets — models, data contracts, pipelines, playbooks — compounds. We price and sequence work so year two costs less than year one.
Used to shape scope and exit
We measure the days between a question being asked and the world changing because of the answer. Most of it hides between "data ready" and "decision". Closing that gap is usually worth more than a new model.
Measured on day one and at handover
Every workstream passes four gates, each with written kill criteria agreed before work starts. Roughly one in three dies at the evidence gate. That is the point — far cheaper than dying after the build.
Governance used with your steering group
Technology
Select a layer. Most of our work sits in the middle three, where decisions are actually made.
Insights
Pilots are scored on best-case examples. Production is scored on the worst 5% of them. We took eleven failed pilots apart and found the same four gaps every time: no offline evaluation set, no owner for retrieval quality, no cost ceiling per call, and no written escalation path.
Proof
One paragraph is enough. A partner replies within two working days with a view, not a brochure.
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